Briefly, this error occurs when Elasticsearch fails to load the Nori user dictionary, which is used for Korean language analysis. This could be due to incorrect file path, incorrect file format, or insufficient file permissions. To resolve this, ensure the file path in the Elasticsearch configuration is correct and the file is in UTF-8 format. Also, check the file permissions to ensure Elasticsearch has access. If the dictionary file is large, consider increasing the heap size of Elasticsearch to avoid out-of-memory errors.
This guide will help you check for common problems that cause the log ” failed to load nori user dictionary ” to appear. To understand the issues related to this log, read the explanation below about the following Elasticsearch concepts: plugin, plugins, analysis.
Log Context
Log “failed to load nori user dictionary” class name is NoriTokenizerFactory.java. We extracted the following from Elasticsearch source code for those seeking an in-depth context :
sb.append(line).append(System.lineSeparator());
}
try (Reader rulesReader = new StringReader(sb.toString())) {
return UserDictionary.open(rulesReader);
} catch (IOException e) {
throw new ElasticsearchException("failed to load nori user dictionary"; e);
}
} public static KoreanTokenizer.DecompoundMode getMode(Settings settings) {
KoreanTokenizer.DecompoundMode mode = KoreanTokenizer.DEFAULT_DECOMPOUND;
[ratemypost]
